Riccardo Ravasio
Molecular Biology · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 71 citations into it
- Computational Biology & Bioinformatics — 21 citations into it
- Materials Chemistry — 20 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Riccardo Ravasio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Holger Flechsig
- Jean-Pierre Changeux
- Le Yan
- Douglas M. Fowler
- G. During
- Adam J. Riesselman
- Matthieu Wyart
- Magnus Ekeberg
- S. W. Lockless
- E. C. Alley
Papers from Riccardo Ravasio's perspective
Ordered by how strongly the researchers Riccardo Ravasio trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification of direct residue contacts in protein–protein interaction by message passing
- Global dynamics of proteins: bridging between structure and function.
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- A Unified View of “How Allostery Works” (PLoS Comput. Biol.)
- The role of dynamics in allosteric regulation. (Current Opinion in Structural Biology)
- Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
- The chemistry of Cas9 and its CRISPR colleagues
- Engineering an allosteric transcription factor to respond to new ligands
Their papers
- Architecture and coevolution of allosteric materials (2016) — 123 citations
- Allostery in Its Many Disguises: From Theory to Applications (2019) — 322 citations
- Direct coupling analysis of epistasis in allosteric materials (2018) — 20 citations
- Principles for Optimal Cooperativity in Allosteric Materials. (2017) — 30 citations